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USOO783 0435B2
`
`(12) United States Patent
`Guidash
`
`(10) Patent No.:
`(45) Date of Patent:
`
`US 7,830,435 B2
`Nov. 9, 2010
`
`(54) IMAGE SENSOR AND IMAGE CAPTURE
`SYSTEM WITH EXTENDED DYNAMIC
`RANGE
`
`(75) Inventor: Robert M. Guidash, Rochester, NY
`(US)
`(73) Assignee: Eastman Kodak Company, Rochester,
`NY (US)
`Subject to any disclaimer, the term of this
`patent is extended or adjusted under 35
`U.S.C. 154(b) by 1430 days.
`(21) Appl. No.: 10/654,313
`(22) Filed:
`Sep. 3, 2003
`
`(*) Notice:
`
`(65)
`
`Prior Publication Data
`US 2005/004598O A1
`Mar. 3, 2005
`
`(51) Int. Cl.
`(2006.01)
`H04N3/14
`(52) U.S. Cl. ....................................... 348/297; 348/273
`(58) Field of Classification Search .................. 348/297
`See application file for complete search history.
`References Cited
`
`(56)
`
`U.S. PATENT DOCUMENTS
`3,971,065 A *
`7/1976 Bayer ......................... 348.276
`
`5, 2000 Prentice et al.
`6,069,377 A
`6,307,195 B1 10/2001 Guidash
`6,486,504 B1
`1 1/2002 Guidash
`6,665,010 B1* 12/2003 Morris et al. ............... 348,297
`6,714,239 B2 * 3/2004 Guidash ........
`... 348,223.1
`6,747,698 B2 * 6/2004 Abe ..............
`... 348,273
`6,831,691 B1* 12/2004 Takada et al. ...
`... 348,308
`... 348,297
`6,943,837 B1 * 9/2005 Booth, Jr. .........
`6,999,119 B1* 2/2006 Shibazaki et al. .
`... 348,273
`7,030,917 B2 * 4/2006 Taubman .................... 348,273
`
`
`
`FOREIGN PATENT DOCUMENTS
`
`EP
`EP
`
`O913 869 A2
`1 227 661 A2
`
`5, 1999
`T 2002
`
`* cited by examiner
`Primary Examiner—Luong T Nguyen
`(74) Attorney, Agent, or Firm Peyton C. Watkins; Nancy R.
`Simon
`
`(57)
`
`ABSTRACT
`
`An image sensor includes a plurality of pixels; a color filter
`pattern spanning at least a portion of the pixels, wherein the
`color filter pattern forms a color filter kernel having colors in
`a predetermined arrangement; and a mechanism for control
`ling integration time of the pixels, wherein the integration
`time of the plurality of pixels is spatially variant in a pattern
`that is correlated with the color filter array kernel.
`
`10 Claims, 4 Drawing Sheets
`
`tery
`
`4OC-1)
`
`C R C R G R G R
`B G
`B G 3
`G R
`
`R
`
`G R
`
`G
`B G
`R.
`C. R.
`B G
`G
`G R
`R
`G B G
`
`
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`TESLA, INC.TESLA, INC.
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`

`

`U.S. Patent
`
`Nov. 9, 2010
`
`Sheet 1 of 4
`
`US 7,830,435 B2
`
`10
`
`\
`GCRGRGRGR
`BcecBeGceEcYV
`GRGRGRGR
`
`10a
`
`BGBCGCBGEBG
`
`CRGRGRGR
`
`
`
`
`BCBCGBGBG
`
`CRGRGRGR
`
`BGBGBGBG
`
`FIG. la
`(Prior Art)
`20a oY
`
`
`
`B\G\|B\c
`
`20b
`
`
`GRGRGRGR
`
`6BGBGEBGBG
`
`GRGRGRGER
`
`BGBGBGBG
`
`GRGRGRGR
`
`B GB GBGBG
`
`FIG. 1b
`(Prior Art)
`
`
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`Ex.1022 / Page 2 of 8
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`TESLA, INC.TESLA, INC.
`TESLA,INC.
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`

`

`U.S. Patent
`
`Nov. 9, 2010
`
`Sheet 2 of 4
`
`US 7,830,435 B2
`
`oo
`
`RGRGRGR
`
`GBGBGBG
`
`RGR GRGR
`
`GBGBGEBG
`
`a
`
`DYDOBD
`
`DMO}O© YDDO
`
`DMOFO© QDDO
`
`MH@i}0©
`
`DQDODH
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`
`
`40a—
`
`
`AA SjOHDOMOFD
`
`406
`
`40b—~
`
`Sy
`
`@
`
`FIG. 2a
`
`\
`
`ee ee
`
`
`
`B cliB cllB cliB Gc
`60 RGORGPR CR88
`
`60a
`
`60b
`
`60a
`
`60b
`
`BPGBGBCBG
`
`GCRGRGRGR
`
`BCBCBCGBG
`
`FIG. 2b
`
`
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`TESLA, INC.TESLA, INC.
`TESLA,INC.
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`

`

`U.S. Patent
`
`Nov. 9, 2010
`
`Sheet 3 of 4
`
`US 7,830.435 B2
`
`FAST-HICH SNR DATA
`SOWELOWER SNR DATA
`
`
`
`REGION 1
`
`OUTPUT
`SIGNAL
`
`FAST-HICH SNR DATA
`SLOW-HICH SNR DATA
`--EFFECTIVE ISA EXTENDED--
`
`REGION 5
`- 1
`- 1
`FAST=CLIPPED (SATURAIED)
`SLOW-HIGH SNR DATA
`
`LOW
`
`HIGH
`MEDIUM
`LIGHT LEVEL
`
`7O
`
`GTRCR IGRICLR -
`BIG (BGIB GBC -
`ITG RIGRC RICR
`TBTC BIGIBCBG -a-
`IIGIRLGIRIGIRLGR -
`BIG (BGBGBG -as
`CRICRCTRICIR -a-
`BIGIBIGIBIGBC
`FIG. 4a
`
`- - - - - -
`
`
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`TESLA, INC.TESLA, INC.
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`

`

`U.S. Patent
`
`Nov. 9, 2010
`
`Sheet 4 of 4
`
`US 7,830,435 B2
`
`-isititatsrif's-
`GR'd E GRT's
`--- El-O, R19, 194E-G-?-
`TCPC g g
`-IP.I.P. (2-1E9E.C.-
`-i ill
`CIRT
`B. G.B.G. BGL, B, C
`T
`if
`-Leil-EYE---
`BJC B, C B LGBG
`
`- - - - - a maar a- - - -it 1-1 4-H - 1 -
`
`try
`SES
`
`FIG 5
`
`
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`TESLA, INC.TESLA, INC.
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`

`

`US 7,830,435 B2
`
`1.
`IMAGE SENSOR AND IMAGE CAPTURE
`SYSTEM WITH EXTENDED DYNAMIC
`RANGE
`
`FIELD OF THE INVENTION
`
`The present invention pertains to semiconductor-based
`image sensors with increased dynamic range.
`
`BACKGROUND OF THE INVENTION
`
`10
`
`15
`
`25
`
`30
`
`35
`
`40
`
`Solid state image sensors are now used extensively in many
`types of image capture applications. The two primary image
`sensor technologies utilized are Charge Coupled Devices
`CCD and CMOS x-y addressable devices. Currently, there
`exists many different specific embodiments of both technolo
`gies, including Active Pixel Sensors (APS) and Passive Pixel
`Sensors (PPS) for CMOS x-y addressable devices. All are
`basically comprised of a set or array of photodetectors that
`convert incident light into an electrical signal that can be
`readout and used to construct an image correlated to the
`incident light pattern. The exposure or integration time for the
`array of photodetectors can be controlled by well known
`mechanisms. The signal represents the amount of light inci
`dent upon a pixel photosite. The dynamic range (DR) of an
`imaging sensing device is defined as the ratio of the effective
`maximum detectable signal level, typically referred to as the
`saturation signal. (V), with respect to the rms. noise level of
`the sensor, (O,t). This is shown in Equation 1.
`Equation 1:
`Dynamic Range=V, O,
`Image sensor devices Such as charge coupled devices
`(CCD) that integrate charge created by incident photons have
`dynamic range limited by the amount of charge that can be
`collected and held in a given photosite, (V). For example,
`for any given CCD, the amount of charge that can be collected
`and detected in a pixel is proportional to the pixel area. Thus
`for a commercial device used in a megapixel digital still
`camera (DSC), the number of electrons representing Vsat is
`on the order of 13,000 to 20,000 electrons. If the incident light
`is very bright and creates more electrons that can be held in
`the pixel or photodetector, these excess electrons are
`extracted by the anti-blooming mechanism in the pixel and do
`not contribute to an increased Saturation signal. Hence, the
`maximum detectable signal level is limited to the amount of
`45
`charge that can be held in the photodetector or pixel. The DR
`is also limited by the sensor noise level, O,. Due to the
`limitations on Vsat, much work has been done in CCD's to
`decrease O,
`to very low levels. Typically, commercial
`megapixel DSC devices have a DR of 1000:1 or less.
`The same limitations on DR also exist for APS and PPS
`devices. The V is limited by the amount of charge that can
`be held and isolated in the photodetector. Excess charge is
`lost. This can become even more problematic with APS and
`PPS compared to CCD due to the active and passive compo
`nents within the pixel, limiting the area available for the
`photodetector, and due to the low Voltage Supply and clocks
`used in CMOS devices. In addition, since APS devices have
`been used to provide image sensor systems on a chip, the
`digital and analog circuits used on APS devices such as timing
`and control and analog to digital conversion, that are not
`present on CCD's, provide a much higher noise floor on APS
`devices compared to CCD. This is due to higher temporal
`noise as well as possibly quantization noise from the on-chip
`analog to digital converter.
`In commonly assigned U.S. Pat. No. 6,069,377, issued
`May 30, 2000, entitled IMAGE SENSOR INCORPORAT
`
`50
`
`55
`
`60
`
`65
`
`2
`ING SATURATION TIME MEASUREMENT TO
`INCREASE DYNAMIC RANGE, by Prentice et al., Prentice
`discloses the prior art approaches to extending dynamic range
`of APS devices, and discloses a new invention to extend
`dynamic range. This method has the disadvantage of requir
`ing more than four transistors per pixel and limits the size of
`the pixel that can be made. In U.S. Pat. No. 6,307,195, issued
`Oct. 23, 2001, entitled VARIABLE COLLECTION OF
`BLOOMING CHARGETOEXTENDDYNAMIC RANGE,
`and U.S. Pat. No. 6,486,504, issued Nov. 26, 2002, entitled
`CMOS IMAGE SENSOR WITH EXTENDED DYNAMIC
`RANGE, both by Guidash, Guidash discloses extending
`dynamic range by collection of the charge that blooms from
`the photodetector, and by co-integration of the photodetector
`and floating diffusion within a single pixel. These approaches
`have the potential disadvantage of spatial variation of the
`photodetector saturation level contributing to fixed pattern
`noise in the sensor, and does not increase the sensitivity of the
`SSO.
`Prior art APS devices also suffer from poor sensitivity to
`light due to the limited fill factor induced by integration of
`active components in the pixel, and by loss of transmission of
`incident light through the color filter layer placed above the
`pixel.
`From the foregoing discussion it should be apparent that
`there remains a need within the prior art for a device that
`retains extended dynamic range while retaining low fixed
`pattern noise, Small pixel, and high sensitivity.
`SUMMARY OF THE INVENTION
`
`The present invention provides a means to control the
`integration separately for any given spatial pattern on the
`image sensor, and more specifically for a pattern that is com
`patible with one or two dimensions of the kernel in the CFA
`pattern. This is done by providing separate TG or RG busses
`for pixels in a given row or set of rows, or by providing any
`means to control integration time separately for a given pat
`tern of pixels in the image sensor array. By doing so, valid
`data is always available for the dark and bright regions of an
`image simultaneously.
`Advantageous Effect of the Invention
`These and other aspects, objects, features and advantages
`of the present invention will be more clearly understood and
`appreciated from a review of the following detailed descrip
`tion of the preferred embodiments and appended claims, and
`by reference to the accompanying drawings.
`BRIEF DESCRIPTION OF THE DRAWINGS
`
`FIG. 1a is a prior art pixel array:
`FIG. 1b is another prior art pixel array:
`FIG.2a is a pixel array of the present invention;
`FIG.2b is an alternative embodiment of the present inven
`tion;
`FIG. 3 is graph graphically illustrating the implementation
`of FIGS. 2a and 2b,
`FIG. 4a is an illustration of two integration controllines per
`row;
`FIG. 4b is an illustration of one integration time signal line
`per row; and
`FIG. 5 is a camera for implementing the pixel array of
`FIGS. 2a and 2b into a preferred commercial embodiment.
`DETAILED DESCRIPTION OF THE INVENTION
`
`Typical prior art image sensor pixel arrays are shown in
`FIGS. 1a and 1b. The image sensor in FIG. 1a can be of any
`
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`

`3
`technology type such as CCD or CMOS APS. The pixel array
`10 in FIG. 1a comprises a set of photodetectors. The integra
`tion time is constant for each pixel. The drawback of this
`approach is that if the integration time is long, pixels in the
`bright areas of an image will become saturated and the image
`details in the bright region will be lost. If the integration time
`is chosen to be short, the image quality in dark regions of the
`image will be poor due to low signal and high noise. The
`image sensor in FIG. 1b was disclosed in U.S. patent appli
`cation Ser. No. 08/960,418, filed Jul. 17, 2002, entitled
`10
`ACTIVE PIXEL SENSOR WITH PROGRAMMABLE
`COLOR BALANCE, by Guidash, in which each color of the
`pixel array 20 associated with the CFA pattern has a separate
`integration time to achieve charge domain white balance.
`This has the same drawbacks as those cited for the image
`sensor pixel array in FIG.1a.
`Referring to FIG.2a, the image sensor pixel array 30 of the
`present invention includes an array that facilitates different
`programmable integration times, but in a different spatial
`pattern than that shown in FIG. 1b. For an x-y addressable
`CMOS image sensor this can be accomplished with separate
`transfer gates or resetgates. For a CCD image sensor this can
`be accomplished by having separate transfer gates. The image
`sensor pixel array 30 in FIG.2a is constructed to have pixels
`with two different integration times for mated pairs of rows
`40a and 40b that are correlated with the color filter array
`pattern pitch or kernel. Pixels with long integration times are
`referred to as fast pixels. Pixels with short integration times
`are referred to as slow pixels. In the case of the Bayer CFA
`pattern, this is a two-row pitch. By having separate integration
`30
`times in this pattern, the effective dynamic range of the image
`sensor is extended as shown in FIG. 3. In region 1, low light
`level region, both the slow and fast pixels of the sensor have
`not saturated. The fast pixels will have signal levels that are
`well above the noise floor. The slow pixels will have signal
`levels that are within a predetermined ratio compared to the
`sensor noise floor. In region 2, both the slow and fast pixels
`have not saturated, and both have adequate signal-to-noise
`ratio. In region3, highlight level regions, the fast pixels have
`saturated or clipped and do not contain valid signal level
`information. The slow pixels have not saturated and do con
`tain valid signal level information with adequate signal to
`noise ratio. Since the valid information is correlated with the
`CFA pattern, the missing information from the fast pixels can
`be determined by interpolation of the slow pixels. With the
`separate integration time architecture shown in FIG. 3, a
`single frame capture is taken, and spatially adaptive image
`processing performed. In region 2, standard prior art color
`image processing methods are employed to render an image.
`For an area of pixels in the image capture that fall into region
`3, interpolation of the slow pixels is used to determined the
`missing signal information in the fast pixels. This results in a
`loss of true MTF in the extremely bright areas of the image,
`but leads to an effectively higher saturation illumination level,
`Isat. This effectively extends the intra-scene dynamic range
`of the image sensor. Although true spatial resolution is
`degraded in the extreme bright regions, the image content that
`would otherwise be lost in the image capture is preserved.
`The sensor architecture of FIG. 2a is designed to provide
`an integration time pattern with two rows of a first integration
`time, and the two adjacent rows with a second integration
`time. This can be accomplished with any type of image sensor
`by having multiple or separate controls for integration time in
`this pattern. For CMOS and other x-y addressable image
`sensors this can be accomplished simply by having the image
`sensor timing arranged with two separate sets of integration
`pointers that are applied to the pairs of alternating rows signal
`
`50
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`40
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`45
`
`55
`
`60
`
`65
`
`US 7,830,435 B2
`
`15
`
`25
`
`4
`lines that control integration time. This could be transfer gate
`lines in each row, or resetgates lines in each row, or any other
`per row signal that is used to control integration time for that
`row. In the case of CCD image sensors, this requires that the
`transfer gate interconnects are constructed so that there are
`separate and isolated connections to the transfer gate lines for
`at least alternating pairs of rows.
`A second embodiment of the present invention is shown in
`the array in FIG. 2b. In this embodiment, the sensor array 50
`is constructed to have two separate and programmable inte
`gration times in a 2 by 2 pixel pattern 60a and 60b. In the case
`of an X-y addressable image sensor technology, this is
`achieved by having multiple signal lines per row that are used
`to control integration time, such as transfer gate or reset gate.
`These multiple signal lines per row are connected to alternat
`ing pairs of pixels to produce the integration time pattern
`shown in FIG. 2b.
`Referring to FIG. 4a, the routing of the multiple signal lines
`70 that control integration time is shown. One disadvantage
`with routing multiple signal lines 70 to control integration
`time for each row is reduction of fill factor or a larger pixel
`size in order to fit the extra signal lines into the pixel pitch.
`This is overcome by the signal line routing architecture
`shown in FIG. 4b. In this case a single integration time control
`line 80 is used per row, but it is actually routed to pixels in two
`adjacent rows. The signal line 80 in the adjacent row is routed
`in a similar manner to create the integration time pattern
`shown in FIG. 2b. With this approach, although a single row
`of data is readout from the sensor at one time, the pixels
`contained within the data stream are from physically adjacent
`rows in the array. In order to properly reconstruct the image,
`the interlaced data must be corrected in the camera image
`memory. This is also a feature of the present invention. Since
`either on-chip or in-camera memory can be set up to write
`data into two or more row locations, there is no need to have
`the sensor read out all pixels from a physical row at the same
`time.
`As previously discussed, this provides an image sensor and
`image capture system with wide intra-scene dynamic range
`and wide exposurelatitude. A single image capture can render
`a full range of image information with optimization of the
`integration time for low light levels without clipping signal
`information in the high light regions of an image. This can
`greatly simplify the exposure control system and algorithms
`in an imaging system since choice of exposure or integration
`time does not need to be as precise.
`It should also be noted that an image capture system using
`Such a sensor can be used to measure or determine the
`dynamic range of a scene to set the two integration times
`appropriately. During the metering phase of a camera system,
`two widely separated integration times can be used to deter
`mine the maximum and minimum light levels in the scene.
`The two integration times can then be adjusted to cover the
`range of illumination in the scene. For example, if the
`dynamic range of the scene to be captured is within the
`inherent dynamic range of the image sensor, then the two
`integration times can be set to the same value. If the scene
`contains a dynamic range that is wider than the true dynamic
`range of the sensor, then the two integration times can be set
`to match or optimally cover the dynamic range of the scene.
`Referring to FIG. 5, there is shown a camera 90 for imple
`menting the image sensor of the present invention is one of
`many consumer-oriented commercial embodiments.
`The invention has been described with reference to a pre
`ferred embodiment. However, it will be appreciated that
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`TESLA, INC.TESLA, INC.
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`

`

`PARTSLIST
`
`US 7,830,435 B2
`
`5
`
`10
`
`15
`
`5
`variations and modifications can be effected by a person of
`ordinary skill in the art without departing from the scope of
`the invention.
`
`6
`5. The image sensor of claim 1, further comprising a signal
`line for each row of pixels in the array, wherein each signal
`line is routed to at least a portion of the pixels in two adjacent
`rows based on the arrangement of the color filter kernels.
`6. A camera comprising:
`an image sensor comprising:
`10 pixel array
`a plurality of pixels arranged in an array of rows and
`20 pixel array
`columns;
`30 pixel array
`a color filter pattern spanning at least a portion of the
`40a mated pair of rows
`40b mated pair of rows
`pixels, wherein the color filter pattern forms a plural
`50 sensor array
`ity of color filter kernels having at least one color of
`every color in the color filter pattern in a predeter
`60a 2 by 2 pixel pattern
`ry
`p
`p
`60b 2 by 2 pixel pattern
`mined arrangement with an identical pattern of colors
`y 4 pixel pal
`70 multiple signal line
`in each color filter kernel, and wherein the color filter
`80 single integration time control line
`kernels are arranged in at least two different uni
`90 camera
`formly distributed sets that are correlated with the
`What is claimed is:
`color filter pattern; and
`1. An image sensor comprising:
`a mechanism for independent control of an integration
`a plurality of pixels arranged in an array of rows and 20
`time of each color filter kernel according to its spatial
`columns;
`location, wherein at least one color filter kernel
`a color filter pattern spanning at least a portion of the pixels,
`includes at least one fast pixel having a first integra
`wherein the color filter pattern forms a plurality of color
`tion time and at least one slow pixel having a second
`filter kernels having at least O color of every color in
`integration time, wherein the first integration time is
`the color filter pattern in a predetermined arrangement 2s
`longer than the second integration time and data from
`with an identical pattern of colors in each color filter
`kernel, and wherein the color filter kernels are arranged
`at least one slow pixel includes valid signal level
`in at least two different uniformly distributed sets that
`information with adequate signal to noise ratio while
`are correlated with the color filter pattern; and
`data from at least one fast pixel does not contain valid
`a mechanism for independent control of an integration time 30
`signal level information.
`of each color filter kernel according to its spatial loca
`7. The camera as in claim 6, wherein the color filter pattern
`tion, wherein at least one color filter kernel includes at
`is a Bayer color filter pattern.
`least one fast pixel having a first integration time and at
`8. The camera as in claim 6, wherein the color filter kernels
`least one slow pixel having a second integration time,
`wherein the first integration time is longer than the sec- 35 each comprise a 2x2 kernel.
`ond integration time and data from at least one slow pixel
`9. The camera as in claim 6, wherein the plurality of color
`includes valid signal level information with adequate
`filter kernels comprises an alternating pattern of two lines at
`signal to noise ratio while data from at least one fast
`one integration time and adjacent two lines at another inte
`pixel does not contain valid signal level information.
`gration time.
`2. The image sensor as in claim 1, wherein the color filter 40
`10. The camera of claim 6, wherein the image sensor fur
`pattern is a Bayer color filter pattern.
`ther comprises a signal line for each row of pixels in the array,
`3. The image sensor as in claim 1, wherein the plurality of
`wherein each signal line is routed to at least a portion of the
`color filter kernels each comprise a 2x2 kernel.
`pixels in two adjacent rows based on the arrangement of the
`4. The image sensor as in claim 1, wherein the plurality of
`color filter kernels comprises an alternating pattern of two 4s color filter kernels.
`lines at one integration time and adjacent two lines at another
`integration time.
`
`k
`
`.
`
`.
`
`.
`
`.
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`TESLA, INC.TESLA, INC.
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`

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